Systems and methods for utilizing imaging informatics

ABSTRACT

A computer device and method for processing an insurance claim and making decisions regarding an insurance policy utilizing informatic data received from one or more informatic camera sensor devices configured to capture imagery data relating to an insured property. Analysis is performed on the received imagery informatic data to determine an assessment variable regarding the insured property. An insurance policy associated with the insured property is also received by the computer and analyzed to determine insurance coverage terms and conditions for the insured property. Predefined business rules are preferably applied by the computer using at least the determined assessment variable and the determined insurance coverage terms and conditions for the insured property to determine an event relating to the insurance policy associated with the insured property.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a Continuation of U.S. patent application Ser. No.14/324,618 filed Jul. 7, 2014, which claims priority to U.S. PatentApplication Ser. Nos. 61/926,093 filed Jan. 10, 2014; 61/926,091 filedJan. 10, 2014; 61/926,095 filed Jan. 10, 2014; 61/926,098 filed Jan. 10,2014; 61/926,103 filed Jan. 10, 2014; 61/926,108 filed Jan. 10, 2014;61/926,111 filed Jan. 10, 2014; 61/926,114 filed Jan. 10, 2014;61/926,118 filed Jan. 10, 2014; 61/926,119 filed Jan. 10, 2014;61/926,121 filed Jan. 10, 2014; 61/926,123 filed Jan. 10, 2014;61/926,536 filed Jan. 13, 2014; 61/926,541 filed Jan. 13, 2014;61/926,534 filed Jan. 13, 2014; 61/926,532 filed Jan. 13, 2014;61/943,897 filed Feb. 24, 2014; 61/943,901 filed Feb. 24, 2014;61/943,906 filed Feb. 24, 2014; and 61/948,192 filed Mar. 5, 2014 whichare each incorporated herein by reference in its entirety.

FIELD OF THE INVENTION

The disclosed embodiments generally relate to a method and computerizedsystem for imaging informatics, and more particularly, to compiling andutilizing imaging informatics in insurance processes.

BACKGROUND OF THE INVENTION

Smart house functionality is a maturing space, but the opportunity forinsurance companies remains largely untapped. Thus, the terms ofinsurance policies, such as homeowner insurance policies, may not bereflective of the true nature of the risks being insured.

Accordingly, there is an unmet need for measuring information relatingto an insured risk, such as a residence or structures located on theresidence premises, and utilizing that information to make appropriatemodifications to insurance policy terms, such as the deductible amount.

SUMMARY OF THE INVENTION

The purpose and advantages of the below described illustratedembodiments will be set forth in and apparent from the description thatfollows. Additional advantages of the illustrated embodiments will berealized and attained by the devices, systems and methods particularlypointed out in the written description and claims hereof, as well asfrom the appended drawings.

To achieve these and other advantages and in accordance with the purposeof the illustrated embodiments, in one aspect described is a computerdevice and method for processing insurance claims utilizing informaticdata received from one or more informatic camera sensor devicesconfigured to capture imagery data relating to an insured property.Analysis is performed on the received imagery informatic data todetermine an assessment variable regarding the insured property. Aninsurance policy associated with the insured property is also receivedby the computer and analyzed to determine insurance coverage terms andconditions for the insured property. Predefined business rules arepreferably applied by the computer using at least the determinedassessment variable and the determined insurance coverage terms andconditions for the insured property to determine an event relating tothe insurance policy associated with the insured property.

This summary section is provided to introduce a selection of concepts ina simplified form that are further described subsequently in thedetailed description section. This summary section is not intended toidentify key features or essential features of the claimed subjectmatter, nor is it intended to be used to limit the scope of the claimedsubject matter.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying appendices and/or drawings illustrate variousnon-limiting, example, inventive aspects in accordance with the presentdisclosure:

FIG. 1 illustrates an example system for gathering and utilizing imageryinformatics related to an insured property;

FIG. 2 illustrates a network computer device/node in accordance with anillustrated embodiment; and

FIGS. 3 and 4 are flow diagrams of operational steps of the imageryinformatics module of FIG. 1.

DETAILED DESCRIPTION OF CERTAIN EMBODIMENTS

The illustrated embodiments are now described more fully with referenceto the accompanying drawings wherein like reference numerals identifysimilar structural/functional features. The illustrated embodiments arenot limited in any way to what is illustrated as the illustratedembodiments described below are merely exemplary, which can be embodiedin various forms as appreciated by one skilled in the art. Therefore, itis to be understood that any structural and functional details disclosedherein are not to be interpreted as limiting, but merely as a basis forthe claims and as a representation for teaching one skilled in the artto variously employ the discussed embodiments. Furthermore, the termsand phrases used herein are not intended to be limiting but rather toprovide an understandable description of the illustrated embodiments.Also, the flow charts and methods described herein do not imply eitherrequired steps or a required order to the steps, and the illustratedembodiments and processes may be implemented in any order and/orcombination that is practicable.

Unless defined otherwise, all technical and scientific terms used hereinhave the same meaning as commonly understood by one of ordinary skill inthe art to which this invention belongs. Although any methods andmaterials similar or equivalent to those described herein can also beused in the practice or testing of the illustrated embodiments,exemplary methods and materials are now described.

It must be noted that as used herein and in the appended claims, thesingular forms “a”, “an,” and “the” include plural referents unless thecontext clearly dictates otherwise. Thus, for example, reference to “astimulus” includes a plurality of such stimuli and reference to “thesignal” includes reference to one or more signals and equivalentsthereof known to those skilled in the art, and so forth.

It is to be appreciated the illustrated embodiments discussed below arepreferably a software algorithm, program or code residing on computeruseable medium having control logic for enabling execution on a machinehaving a computer processor. The machine typically includes memorystorage configured to provide output from execution of the computeralgorithm or program.

As used herein, the term “software” is meant to be synonymous with anycode or program that can be in a processor of a host computer,regardless of whether the implementation is in hardware, firmware or asa software computer product available on a disc, a memory storagedevice, or for download from a remote machine. The embodiments describedherein include such software to implement the equations, relationshipsand algorithms described above. One skilled in the art will appreciatefurther features and advantages of the illustrated embodiments based onthe above-described embodiments. Accordingly, the illustratedembodiments are not to be limited by what has been particularly shownand described, except as indicated by the appended claims. Commonlyassigned U.S. Pat. Nos. 8,289,160 and 8,400,299 are related to certainembodiments described herein and are each incorporated herein byreference in their entirety.

As used herein, the term “risk related data” means data or informationthat may be relevant to an insurance company's decisions aboutunderwriting, pricing, and other terms and conditions on which it iswilling to issue insurance policies.

As used herein, the term “insurance policy” or “insurance product”refers to a contract between an insurer, also known as an insurancecompany, and an insured, also known as a policyholder, in which theinsurer agrees to indemnify the insured for specified losses, costs, ordamage on specified terms and conditions in exchange of a certainpremium amount paid by the insured. In a typical situation, when theinsured suffers some loss for which he/she may have insurance theinsured makes an insurance claim to request payment for the loss. It isto be appreciated for the purpose of the embodiments illustrated herein,the insurance policy is not to be understood to be limited to aresidential or homeowners insurance policy, but can be for a commercial,umbrella, and other insurance policies known by those skilled in theart.

As also used herein, “insured” may refer to an applicant for a newinsurance policy and/or may refer to an insured under an existinginsurance policy.

As used herein, the term “insurance policy” may encompass a warranty orother contract for the repair, service, or maintenance of insuredproperty.

As used herein, “insured property” means a dwelling, other buildings orstructures, personal property, or business property, as well as thepremises on which these are located, some or all which may be covered byan insurance policy.

Turning now descriptively to the drawings, FIG. 1 depicts an exemplarysystem 100 communicatively connected to one or more imaging devices(e.g., camera devices) relative to an insured property in which belowillustrated embodiments may be implemented. As to be further discussedbelow, it is to be understood examples of imaging devices include, butare not limited to, camera devices, webcams, smart tv camera devices(and other appliance camera devices), smart phone devices, tabletdevices, satellite imaging devices (including high-device imagingsatellite devices), infrared and/or radar devices and the like. It is tobe further understood that first and second networks 50 are each ageographically distributed collections of nodes interconnected bycommunication links and segments for transporting data between endnodes, such as personal computers, work stations, smart phone devices,tablets, televisions, sensors and or other devices such as automobiles,etc. Many types of networks are available, with the types ranging fromlocal area networks (LANs) to wide area networks (WANs). LANs typicallyconnect the nodes over dedicated private communications links located inthe same general physical location, such as an insured property,structure, residence or campus. WANs, on the other hand, typicallyconnect geographically dispersed nodes over long-distance communicationslinks, such as common carrier telephone lines, optical lightpaths,synchronous optical networks (SONET), synchronous digital hierarchy(SDH) links, or Powerline Communications (PLC), and others.

Communications 75 represents computerized communications as known bythose skilled in the art. For instance, communications 75 may be wiredlinks or may comprise a wireless communication medium, where certainnodes are in communication with other nodes, e.g., based on distance,signal strength, current operational status, location, etc. Moreover,each of the devices can communicate data packets (or frames) with otherdevices using predefined network communication protocols as will beappreciated by those skilled in the art, such as various wired protocolsand wireless protocols etc., where appropriate. In this context, aprotocol consists of a set of rules defining how the nodes interact witheach other. Those skilled in the art will understand that any number ofnodes, devices, links, etc. may be used in the computer network, andthat the view shown herein is for simplicity. Also, while theembodiments are shown herein with reference to a general network cloud,the description herein is not so limited, and may be applied to networksthat are hardwired.

As will be appreciated by one skilled in the art, aspects of the presentinvention may be embodied as a system, method or computer programproduct. Accordingly, aspects of the present invention may take the formof an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may generally bereferred to herein as a “circuit,” “module” or “system.” Furthermore,aspects of the present invention may take the form of a computer programproduct embodied in one or more computer readable medium(s) havingcomputer readable program code embodied thereon.

Any combination of one or more computer readable medium(s) may beutilized. The computer readable medium may be a computer readable signalmedium or a computer readable storage medium. A computer readablestorage medium may be, for example, but not limited to, an electronic,magnetic, optical, electromagnetic, infrared, or semiconductor system,apparatus, or device, or any suitable combination of the foregoing. Forexemplary purposes and without limitations, examples of the computerreadable storage medium include the following: an electrical connectionhaving one or more wires, a portable computer diskette, a hard disk, arandom access memory (RAM), a read-only memory (ROM), an erasableprogrammable read-only memory (EPROM or Flash memory), an optical fiber,a portable compact disc read-only memory (CD-ROM), an optical storagedevice, a magnetic storage device, or any suitable combination of theforegoing. In the context of this document, a computer readable storagemedium may be any tangible medium that can contain, or store a programfor use by or in connection with an instruction execution system,apparatus, or device.

A computer readable signal medium may include a propagated data signalwith computer readable program code embodied therein, for example, inbaseband or as part of a carrier wave. Such a propagated signal may takeany of a variety of forms, including, but not limited to,electro-magnetic, optical, or any suitable combination thereof. Acomputer readable signal medium may be any computer readable medium thatis not a computer readable storage medium and that can communicate,propagate, or transport a program for use by or in connection with aninstruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmittedusing any appropriate medium, including but not limited to wireless,wireline, optical fiber cable, RF, etc., or any suitable combination ofthe foregoing.

Computer program code for carrying out operations for aspects of thepresent invention may be written in any combination of one or moreprogramming languages, including an object oriented programming languagesuch as Java, Smalltalk, C++ or the like and conventional proceduralprogramming languages, such as the “C” programming language or similarprogramming languages. The program code may execute entirely on theserver computer, partly on the server computer, as a stand-alonesoftware package, partly on the server computer and partly on a remotecomputer (such as computing device 300) or entirely on the remotecomputer. In the latter scenario, the remote computer may be connectedto the server computer through any type of network, including a localarea network (LAN) or a wide area network (WAN), a combination thereof,or the connection may be made to an external computer (for example,through the Internet using an Internet Service Provider).

Aspects of the present invention are described below with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems) and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer program instructions. These computer program instructions maybe provided to a processor of a general purpose computer, specialpurpose computer, or other programmable data processing apparatus toproduce a machine, such that the instructions, which execute via theprocessor of the computer or other programmable data processingapparatus, create means for implementing the functions/acts specified inthe flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in anon-transitory computer readable medium that can direct a computer,other programmable data processing apparatus, or other devices tofunction in a particular manner, such that the instructions stored inthe computer readable medium produce an article of manufacture includinginstructions which implement the function/act specified in the flowchartand/or block diagram block or blocks.

The computer program instructions may also be loaded onto a computer,other programmable data processing apparatus, or other devices to causea series of operational steps to be performed on the computer, otherprogrammable apparatus or other devices to produce a computerimplemented process such that the instructions that execute on thecomputer or other programmable apparatus provide processes forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

Turning to FIG. 1, system 100 includes cameras 90 and management module105 that includes imagery retrieval engine 110, imagery analysis engine120, command generation engine 130 and policy analysis engine 140. Inone embodiment, first network 50 is a LAN and second network 50 is a WAN(best shown in FIG. 1), such as the internet, although it iscontemplated herein that networks 50 may be any system and/or method ofcomputerized communications as understood by those skilled in the art.

FIG. 2 is a schematic block diagram of an example computing device 300that may be used (or components thereof) with one or more embodimentsdescribed herein. As explained above, in different embodiments thesevarious devices be configured to communicate with each other in anysuitable way, such as, for example, via communication 75 over networks50.

Device 300 is only one example of a suitable system and is not intendedto suggest any limitation as to the scope of use or functionality ofembodiments of the invention described herein. Regardless, computingdevice 300 is capable of being implemented and/or performing any of thefunctionality set forth herein.

Computing device 300 is operational with numerous other general purposeor special purpose computing system environments or configurations.Examples of well-known computing systems, environments, and/orconfigurations that may be suitable for use with computing device 300include, but are not limited to, personal computer systems, servercomputer systems, thin clients, thick clients, hand-held or laptopdevices, multiprocessor systems, microprocessor-based systems, set topboxes, programmable consumer electronics, network PCs, minicomputersystems, mainframe computer systems, and distributed data processingenvironments that include any of the above systems or devices, and thelike.

Computing device 300 may be described in the general context of computersystem-executable instructions, such as program modules, being executedby a computer system. Generally, program modules may include routines,programs, objects, components, logic, data structures, and so on thatperform particular tasks or implement particular abstract data types.Computing device 300 may be practiced in distributed data processingenvironments where tasks are performed by remote processing devices thatare linked through a communications network. In a distributed dataprocessing environment, program modules may be located in both local andremote computer system storage media including memory storage devices.

Device 300 is shown in FIG. 2 in the form of a general-purpose computingdevice. The components of device 300 may include, but are not limitedto, one or more processors or processing units 310, a system memory 340,interface device 320, and a bus 305 that couples various systemcomponents including system memory 340 to processor 310.

Bus 305 represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnect (PCI) bus.

Computing device 300 typically includes a variety of computer systemreadable media. Such media may be any available media that is accessibleby device 300, and it includes both volatile and non-volatile media,removable and non-removable media.

System memory 340 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 342, cachememory, and hard drive 345, which may include database 346. Computingdevice 300 may further include other removable/non-removable,volatile/non-volatile computer system storage media. By way of exampleonly, hard drive 345 can be provided for reading from and writing to anon-removable, non-volatile magnetic media. Interface device 320includes, without limitation, a magnetic disk drive for reading from andwriting to a removable, non-volatile magnetic disk (e.g., a “floppydisk”), and an optical disk drive for reading from or writing to aremovable, non-volatile optical disk such as a CD-ROM, DVD-ROM or otheroptical media can be provided. In such instances, each can be connectedto bus 305 by one or more data media interfaces. As will be furtherdepicted and described below, memory 340 may include at least oneprogram product having a set (e.g., at least one) of program modulesthat are configured to carry out the functions of embodiments of theinvention.

Management module 105, has a set (at least one) of engines, such asimagery retrieval engine 110, imagery analysis engine 120, commandgeneration engine 130 and policy analysis engine 140 described below,may be stored in memory 340 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of a networkingenvironment. Management module 105 generally carry out the functionsand/or methodologies of embodiments of the invention as describedherein.

Device 300 may also communicate with one or more interface devices 320such as a keyboard, a pointing device, a display, etc.; one or moredevices that enable a user to interact with computing device 300; and/orany devices (e.g., network card, modem, etc.) that enable computingdevice 300 to communicate with one or more other computing devices. Suchcommunication can occur via Input/Output (I/O) interfaces. Still yet,device 300 can communicate with one or more networks such as a localarea network (LAN), a general wide area network (WAN), and/or a publicnetwork (e.g., the Internet) via a network adapter 320. As depicted,network adapter 320 communicates with the other components of computingdevice 300 via bus 305. It should be understood that although not shown,other hardware and/or software components could be used in conjunctionwith device 300. Examples, include, but are not limited to: microcode,device drivers, redundant processing units, external disk drive arrays,RAID systems, tape drives, and data archival storage systems, etc.

FIGS. 1 and 2 are intended to provide a brief, general description of anillustrative and/or suitable exemplary environment in which embodimentsof the below described present invention may be implemented. FIGS. 1 and2 are exemplary of a suitable environment and are not intended tosuggest any limitation as to the structure, scope of use, orfunctionality of an embodiment of the present invention. A particularenvironment should not be interpreted as having any dependency orrequirement relating to any one or combination of components illustratedin an exemplary operating environment. For example, in certaininstances, one or more elements of an environment may be deemed notnecessary and omitted. In other instances, one or more other elementsmay be deemed necessary and added.

Camera 90 includes capture data related to structures. It iscontemplated herein that structures include any type of insured propertystructure (e.g., residential, commercial, retail, municipal, etc.) inwhich the capture and analysis of camera data is useful for the reasonsat least described herein. In one embodiment, cameras 90 communicatedirectly with management module 105. However, it is contemplated hereinthat cameras 90 may communicate with computing device 300 operating onthe same network 50 (best shown in FIG. 1) as cameras 90. In thisembodiment, computing device 300 receives information from cameras 90and communicates the information to management module 105. Computingdevice 300 may immediately transfer the information to management module105, it may be a delayed transfer (e.g., scheduled for the middle of thenight when internet usage is low), and/or it may be any communicationmethodology as known by those skilled in the art. Computing device 300is preferably configured and operational to receive (capture) data fromvarious cameras 90 regarding certain measured aspects of the insuredproperty and transmit that captured data to a management module 105 vianetwork 50. It is noted that device 300 may perform analytics regardingthe captured imagery regarding the insured property, and/or managementmodule 105, preferably located or controlled by an insurancecompany/carrier, may perform such analytics, as also further describedbelow. Further, cameras 90 may be connected to computing device 300 bywire, or by a wireless technology, or via any communication methodologyas known by those skilled in the art.

Although various camera types are illustrated in FIG. 1 and describedbelow, the camera types described and shown herein are not intended tobe exhaustive as embodiments of the present invention may encompass anytype of known or unknown camera type which facilitates the purposes andobjectives of the certain illustrated embodiments described herein. Itis to be understood and appreciated, in accordance with the embodimentsherein, sensors/cameras 90 are preferably installed, and its data iscollected, maintained, accessed and otherwise utilized pursuant to thepermission of the insured(s) and subject to appropriate security andprivacy protections. Exemplary camera types include but are not limitedto:

Visible light two dimensional (2D) camera—Generally speaking, this isthe camera that is commonly used. This type of camera produces a 2Dimage of the visible light received and detected by the camera.

Visible light three dimensional (3D) camera—In one embodiment, thiscamera comprises a pair of 2D cameras that are capturing approximatelythe same content, but from different perspectives. The two cameras maybe the same vertical distance from the ground and a few inches aparthorizontally, similar to how peoples' eyes are separated. However, it iscontemplated herein that the cameras may have any arrangement,including, without limitation, only vertical differentiation, bothvertical and horizontal differentiation, and/or three or more cameras.It is further contemplated herein two or more cameras may share a commonlens, to the extent that such is practicable.Infrared camera—Such a camera would record, detect, and communicateimagery of infrared emissions in its field of view. It is contemplatedherein that such a camera may be specially designed to record infraredimagery, it may be a “normal” camera with a special filter designed tofacilitate infrared imagery, it may be a “normal” camera re-equipped todetect infrared imagery, and/or any configuration and/or means forcapturing infrared imagery as known in the art.Infrared 3D camera—Typically consist of a combination of camerasconfigured to detect infrared emissions, that are typically, althoughnot necessarily, operated in tandem and/or cooperation. As with visiblelight 3D cameras, the infrared 3D cameras may be arranged in anypositions as known and/or practiced by those skilled in the art.Multi-function camera—A camera, as the name suggests, configured toperform a plurality of functions, such as, for exemplary purposes onlyand without limitation, a 2D visible light camera and a 2D infraredcamera, a single camera that captures both visible light and infrared, acamera that captures wavelengths other than infrared and visible light,and/or any combination thereof.Thermal camerasAerial imagery camera—A camera device typically mounted on an airplane,unmanned aerial vehicle (UAV), satellite, or another device that cantake pictures of the insured property from the sky. These cameras canprovide a unique perspective of the insured property that a picture fromthe ground cannot. The angles the that are taken in this manner caninclude by are not limited to nadir (looking straight down at theinsured property) and all sides of the insured property.Camera images from Smartphone or other portable computer device—A cameradevice configured to capture metadata regarding the direction, GPScoordinate and other data elements relative to a photograph. Thephotograph(s) can be taken by the insured, by the insurance company or a3^(rd) party company.

It is contemplated herein that imagery captured by cameras 90 includes,for exemplary purposes only and without limitation, still picturecameras, video cameras, filtered cameras (e.g., only certainwavelengths, such as visible light green, visible light red, certainwavelengths of non-visible light), and/or combinations thereof.

With exemplary cameras 90 identified and briefly described above, and aswill be further discussed below, it is to be generally understoodcameras 90 preferably record certain data parameters relating toproducts and services provided by an insurance carrier, such as USAA, todetermine and/or utilize discovered information, such as by amending orproposing to amend the terms of an insurance policy. It is to beunderstood and appreciated the aforementioned cameras 90 may beconfigured as wired and wireless types integrated in a networkedenvironment (e.g., WAN, LAN, WiFi, 802.11X, 3G, LTE, etc.), which mayalso have an associated IP address. It is to be further appreciatedcameras 90 be placed anywhere in and around an insured property,including without limitation, on a structure, within the structure, onthe ground, in the ground, on or in a artificial stand, and/or on or ina tree or other naturally created structures. It is additionally to beunderstood and appreciated that cameras 90 can be networked into acentral computer hub (e.g., device 300) in an insured property toaggregate collected data packets or cameras 90 may be communicativelyconnected to other cameras 90 and/or computing device 300 (e.g.,hard-wired to either). Aggregated data packets can be analyzed in eithera computer system (e.g., computing device 300) or via an externalcomputer environment (e.g., management module 105). Additionally, it isto be understood data packets collected from cameras 90 can beaggregated in computing device 300 and sent as an aggregated packet tomanagement module 105 for subsequent analysis whereby data packets maybe transmitted at prescribed time intervals (e.g., a benefit is toreduce cellular charges in that some insured properties may not haveInternet access or to send during low internet usage hours).

In accordance with an illustrated embodiment, in addition to theaforementioned, computing device 300 may additionally be coupled to aclock which may keep track of time for cameras 90, thereby allowing agiven item of data to be associated with the time at which the data wascaptured. For example, camera 90 may recurrently capture readings oftemperature, wind speed, humidity, appliance operating times, etc., andmay timestamp each reading. The time at which the readings are taken maybe used to reconstruct events or for other analytic purposes, such asthose described herein. For example, the timestamps on wind speedreadings taken during a hurricane may allow it to be determined, afterthe hurricane has occurred, how quickly the wind speed rose in thevicinity of the structure.

A storage component may further be provided and utilized to store datareadings and/or timestamps in cameras 90. For example, a storagecomponent may include, or may otherwise make use of, magnetic or opticaldisks, volatile random-access memory, non-volatile random-access memory,or any other type of storage device. There may be sufficient datastorage capacity to store several hours or several weeks of datareadings. For example, the severe part of a hurricane might last forhalf a day, a full day, or several days. A storage component might havesufficient storage capacity to allow twelve or more hours of readings tobe stored, thereby allowing forensic reconstruction of how the hurricaneaffected the structure during the full time that the structure wasexperiencing the hurricane's impact.

A communication component may further be provided and utilized tocommunicate recorded information from computing device 300 to anexternal location, such as management module 105, which may beassociated with an insurance carrier such as USAA. The communicationcomponent may be, or may comprise, a network communication card such asan Ethernet card, a WiFi card, or any other communication mechanism.However, the communication component could take any form and is notlimited to these examples. The communication component might encryptdata that it communicates, in order to protect the security and/orprivacy of the data. Additionally, data from cameras 90, a computerizedclock and/or a storage component may be communicated directly tomanagement module 105, via network 50, thus obviating or mitigating theneed for computing device 300.

Management module 105 may include, or otherwise may cooperate with,imagery retrieval engine 110. Imagery retrieval engine 110 receivesinformation from cameras 90 and/or computing device 300. In oneembodiment, imagery retrieval engine 110 sends a query to computingdevice 300 to respond with data generated by cameras 90. In anotherembodiment, cameras retrieval engine 110 sends a query to cameras 90 toretrieve data they generated. In yet another embodiment, cameras 90 senddata to imagery retrieval engine 110 as the data is generated. In stillanother embodiment, cameras 90 store data and periodically (e.g., everynight at 3:00 A.M.) send to cameras retrieval engine 110. However, suchis not an exhaustive list of methods of communicating data from cameras90 to imagery retrieval engine 110, and it is contemplated herein thatdata may be sent in any way as known in the art, including permutationsof methods described herein.

In one embodiment a single instance of management module 105 receivescommunications from cameras 90 at a plurality of structures/locations(e.g., thousands of camera locations either from aerial photography orfrom the ground communicating to a single management module 105),however it is contemplated herein that any permutation of camera(s) 90and management module(s) 105 may be utilized as would be readilyunderstood by those skilled in the art.

Management module 105 may further include imagery analysis engine 120that analyzes data that has been generated by cameras 90. Imageryanalysis engine 120 may utilize received imagery to determine conditionsthat exist at the insured property, changes to conditions, hazards tothe insured property, material recognition, object recognition, and/or,possibly with the cooperation of policy analysis engine 140, compare thedetermined conditions to an insurance policy.

In one embodiment, imagery is gathered by cameras 90. Such cameras maydetect visible and/or infrared light, may record 2D or 3D imagery, andmay record thermal imagery. Further, it is contemplated herein that analready installed camera that has been redesigned and/or reconfigured tofunction with the embodiments described herein.

In another embodiment, the imagery is analyzed to determine if vandalismhas occurred. This analysis may include identifying a change of colorbetween a recent image and an image previously taken. Or the analysismay include identifying a change in the moisture level using thermalimagery. This analysis may also include identifying a change to thestructure (e.g., a hole in a wall), which may include merely analysis of2D imagery, may include analysis of 3D imagery, and/or it may includeanalysis of thermal imagery.

In yet another embodiment, the imagery is analyzed to determine if analteration has been made to the property. The alteration detected mayinclude replacing/adding/removing an appliance, adding/renovating aroom, and/or enlarging a room. The alteration may also include damage,such as damage caused by a weather event. The damage caused by a weatherinvent may include damage to a structure (e.g. window knocked out orcracked, roof torn apart, a wall with a hole, a wall that has beenknocked over, and damage to a wall). The analysis may be conducted byviewing a single image, thermal image, by viewing several images takenapproximately contemporaneously, comparing image(s) to previous imagesto detect changes, comparing image(s) to the terms of an existinginsurance policy, and comparing image(s) to the terms of an applicationfor an insurance policy.

In one or more embodiment, multiple pictures may be taken and stored forany period of time, up to and including permanent storage.

In another embodiment, imagery is analyzed through object recognition todetermine a value for an object in the imagery (e.g., the value of apiece of jewelry, the value of an appliance, such as a TV). The visuallyappraised value may be compared to previous imagery of that object, suchas to detect a change in “current” value. The visually appraised valuemay be compared to the terms of an insurance policy, and/or the visuallyappraised value may be compared to an application for an insurancepolicy. For exemplary purposes only, imagery may utilized to detect andcalculate the visually appraised value for one or more objects in astructure (up to and including all objects in the structure), comparethe visually appraised value(s) to the terms of an insurance policy, andpotentially send a notification if the visually appraised values exceedthe terms of the insurance policy. Similarly, a notification may be sentif the visually appraised value exceeds the terms in an application foran insurance policy.

In another example, the camera images of the insured property, gatheredeither on the ground by the insured, the insurance company, or a 3^(rd)party or taken through aerial imagery can use object recognition tocategorize the insured property characteristics to visually appraise orestimate the replacement rebuild cost or market value of the insuredproperty. The visual appraisal or estimate of the replacement rebuildcost or market value of the insured property can be withoutobjects/items within the property or with objects/items within theproperty. The corresponding analysis and comparison to insurance termsand conditions may indicate whether to send a notification to theinsured so that the insurance amount can be adjusted. The insurancecompany can also use this information captured to automatically adjustthe insurance amount either at the policy issue, when the image isgathered, when the image is provided to the insurance company, or at thenext policy renewal, as permitted by the policy's terms and conditions.

In still another embodiment, the imagery may be analyzed to determine anumber of occupants of the residence and/or the habits and activities ofoccupants in an insured property. For example, the imagery may befocused on identifying when certain individuals leave an insuredproperty, and these times could be correlated with the time of the day(e.g., if a person arrives before midnight and leaves after 5 A.M., theymay be presumed to have slept there). Continuing this example, thesystem may count how often certain individuals sleep at the insuredproperty, and compare that to a threshold (e.g., 10 times in a month, 30times in a 3-month period, 100 times in a year). Still continuing thisexample, rather than identify specific individuals, the system maymerely track the number of people who sleep in the insured property, andbased on that information determine how many occupants reside in theinsured property.

In another example, the imagery may be focused on determining the numberof hours individuals are in the insured property (whether it be daytimeor nighttime), and based on that information determine how manyoccupants reside there. Similar to the other example, the analysis maybe focused on distinguishing between people to identify who is withinthe insured property, or the analysis may be focused on merely countinghow many people are within the insured property.

Continuing with this embodiment, the occupant count may be comparedagainst an insurance policy and/or an application for the same. Based onthe comparison, a notification may be sent (e.g., if the policydescribes three occupants, but there appear to be nine occupants, then anotification may be sent to the insurer). Further, it is contemplatedherein that “occupants” may include people and/or pets.

In even another embodiment, the location of a heat source (e.g., candle,toaster oven, oven, stove, hot plate, electric kettle, space heater,water heater, appliance, electric charger) may be determined, such as byanalyzing a 3D infrared image and/or by analyzing one or more infraredimages. In one example, the temperature of a nearby item (e.g., woodenshelf) is measured when the heat source is not activated (e.g., unlitcandle, room temperature oven, stove, hot plate, kettle, heater,appliance, electric charger). Subsequently, when the heat source isactivated, the temperature of the nearby item is again measured. Basedon a comparison between the two temperature measurements, a notificationmay be sent. Alternatively, a notification may be sent based on solelythe temperature of the item when the heat source is activated. In yetanother alternative, a notification may be sent based on a combinationof the comparison and the second temperature.

In another embodiment, a distance between a heat source and an object isdetermined, and based on a comparison of the distance and apredetermined threshold (e.g., two feet) a notification may be sent.Alternatively, the predetermined threshold distance may be associatedwith the temperature of the heat source (e.g., 200 degrees means thethreshold is one foot, 250 degrees means the threshold is two feet).Continuing with this alternative, the threshold distance may be based on(1) the temperature of the heat source, and (2) the flammability of thenearby object (e.g., the threshold distance is three feet for 200degrees and if the nearby object is paper, and the threshold distance isone foot for 200 degrees and if the nearby object is metal).

It is contemplated that the location of any object, heat source orotherwise, may be calculated based on imagery such as, for exemplarypurposes only and without limitation, a 3D image, one or more images(visible light, infrared, or otherwise). Thus, for example, the distancebetween a heat source and an object may be calculated based on firstidentifying/calculating the location of both the heat source and theobject.

It another embodiment, a heat source is identified. For example, if anobject is a higher temperature than surrounding objects, and ameaningful temperature differential is maintained, imagery analysisengine 120 may identify the object as a heat source. Further, if theheat source is moved, imagery analysis engine 120 may identify a newlocation for the heat source. Along those lines, and continuing theexample, if the heat source is moved closer to an object, or if anobject is moved closer to a heat source, system 100 may compare apredetermined threshold to the new distance between the heat source andthe object, and, based on the comparison, send a notification. Thenotification may include, for exemplary purposes only and withoutlimitation, an alert to a person associated with the structure (e.g.,owner and/or resident), an alert to the insurance company that unsafeconditions may exist, and/or a combination thereof.

Another embodiment may include using an analysis engine 120 associatedwith the camera images of the inside or outside the insured propertythat can recognize risks in the exterior or interior of the home. Whenthese are identified the insurance company can provide advice andmitigation opportunities to the insured so that the risk of damage isreduced. For example, the camera image can identify that the insured hasa tree branch touching the roof which can cause the roof to wear quicklywhen the branch moves and rubs against the roof. The analysis engine 120could identify this and the insured would be notified that there is arisk and how to correct the risk. The camera images collected in theanalysis engine 120 could also be used for acceptability, underwriting,and pricing.

In another embodiment the camera could be fixed to an airplane, UAV,satellite or another device that will allow images from the sky abovethe home. These images can capture roof geometry, roof material,exterior siding material and other features about the home. These imagescan be used to establish how much to insure the home for, risksassociated and more. The camera images from above the home can identifyrisks or loss information like hail damage to the roof and allow thetransmission of this information to the insurance company. The insurancecompany can use this information, like whether the home has previoushail damage to the roof, to help determine if the property meetsapplicable underwriting and acceptability guidelines.

Another embodiment could include the insured, insurance company, or a3^(rd) party company taking pictures of the insured property using aSmartphone or other camera device configured to capture metadata likefor example the GPS coordinate, beacon location, distance from afiducially marker, direction, etc. A fiducial marker can be used by theinsured, insurance company, or 3^(rd) party to accurately measure thedistance and dimensions captured in the image. The insurance company canuse the camera images captured to create a digital blueprint of thehome. This digital blueprint can be used to create a graphicalrepresentation of the home for use by the insurance company. It can beused to display the digital blueprint to the insured on the company'swebsite or other portals to the insured. The digital blueprint can alsobe saved to help with claims handling if there is a claim on the home.The insurance company can look at the pictures and location of objectsin the home and know what the pre-loss status of the home was so thatthe insurance company can help the insured restore the home to pre-lossstatus in the event of a covered loss. Another use of the camera imagesfor the digital blueprint can be to determine an insurance amount orrebuild costs for the insured property. The camera images can haveobject recognition capabilities and know whether the countertop is, forexample, granite or concrete and use this information to establish aninsurance amount or rebuild costs.

In yet another embodiment, the insured, insurance company, and/or 3^(rd)party can capture images regarding the insured property and provide itto another party for the insured's benefit. For example, the insured maydesire to replace carpet with hardwood flooring. Thus the insured mayutilize the image collected about the insured's property that containsdimensions of the rooms and send it to a seller of hardwood flooring.The seller can then provide a quote for the flooring based upon theseimages using the dimension data in the images.

Management module 105 may further include command generation engine 130.Command generation engine 130 may send commands to cameras 90. Suchcommands may be sent through intermediary computing device 300, or suchcommands may be sent directly to cameras 90. Such commands may include,for exemplary purposes only and without limitation, an instruction totake an immediate reading, an instruction to take a series of readings(e.g., every five minutes for one hour, every minute for one week), aninstruction to take more frequent readings (e.g., every hour rather thanevery six hours), an instruction to take less frequent readings (e.g,every day rather than every hour), an instruction to change the locationand/or shooting angle of camera 90, and/or any permutations orderivations thereof as will be known by those skilled in the art.

Management module 105 may further include policy analysis engine 140.Policy analysis engine 140 may analyze the data such as described abovewith respect to imagery analysis engine 120. It is contemplated hereinthat imagery analysis engine 120 and policy analysis engine 140 may workin cooperation/tandem, independently of each other, without interactionwith the other, or any other permutations or derivations thereof as willbe known by those skilled in the art. Policy analysis engine mayelectronically seek, and receive, an insurance policy associated with aninsured property to preferably apply business rules todetermine/interpolate one or more terms of a policy, the termsincluding, for exemplary purposes only and without limitation, acoverage amount of the policy, a time period for the policy, and anidentification of items and/or structures covered by the policy topreferably be utilized to determine an event relating to the insurancepolicy associated with the insured property based upon data capturedfrom one or more aforesaid sensors. Examples of an event include, butare not to be limited to, adjusting one or more terms of the insurancepolicy, determine the value of a item or its replacement cost, determineoccurrence of an insurance loss/claim event, insurance underwritingdecisions and the like.

In one embodiment, policy analysis engine 140 accesses a database thatcontains information about insurance policies and/or applications forinsurance policies. However, it is contemplated herein that policyanalysis engine 140 may access/retrieve/receive said information by anymeans as known by those skilled in the art.

In another embodiment, policy analysis engine 140 is responsible forsome (including, in some embodiments, all) of the comparison betweeninsurance information and information gleaned from imagery.

FIG. 3 shows, in the form of a flow chart (process 1000), exemplaryoperational steps of utilizing system 100. Before turning todescriptions of FIG. 3, it is noted that the flow diagram shown thereinare described, by way of example, with reference to components shown inFIGS. 1-2, although these operational steps may be carried out in anysystem and are not limited to the scenario shown in the aforementionedfigures. Additionally, the flow diagrams in FIG. 3 shows an example inwhich operational steps are carried out in a particular order, asindicated by the lines connecting the blocks, but the various stepsshown in these diagrams can be performed in any order, or in anycombination or sub-combination.

With reference to FIG. 3, starting at step 1001, a property insurancepolicy is initiated. This policy may be stored in memory 340, such asdatabase 346. In one embodiment, policy analysis engine 140 has accessto the policy, such as to the terms of the policy (e.g., premium,deductible, coverage amount, coverage type).

Cameras 90 are installed at a property, such as a structure, covered bythe insurance policy (step 1002). In one embodiment, cameras 90 may havebeen previously installed for other reasons (e.g., security cameras) andlater re-configured to integrate with system 100. In another embodiment,cameras 90 are installed for at least the reason of integrating with andworking with system 100. In still another embodiment, cameras 90 includea combination of pre-installed cameras 90 and newly-installed cameras90.

Subsequently, information, such as imagery, is received from cameras 90(step 1003). As discussed above, information may be sent from cameras 90to computing device 300, and subsequently to management module 105 (step1004). In another embodiment, computing device 300 is not installedonsite and cameras 90 communicate directly to management module 105. Inyet another embodiment, computing device 300 is installed onsite, andcameras 90 communicate directly to management module 105, cameras 90communicate to management module 105 through computing device 300,and/or a combination thereof.

Information is analyzed by management module (step 1005), such as byimagery analysis engine 120 and/or policy analysis engine 140. Thesituations may be compared to insurance policy information as providedby policy analysis engine 140 (step 1006). In one embodiment, imageryanalysis engine 120 considers the images and identifies prospectivesituations such as described herein (step 1007). Finally, based on thecomparisons and/or analysis, notifications may be sent (step 1008).

In one embodiment, command generation engine 130 may send additionalcommands to cameras 90 and/or computing device 300, such as viacomputing device 300 and/or directly to cameras 90. These commands mayalter the types of imagery being taken/recorded, the frequency of imagecaptures, the speed/frequency in which images are communicated fromcameras 90, and/or any other settings. Subsequent to additional commandsbeing sent to cameras 90, cameras 90 and/or computing device 300 executeand/or perform the additional commands and send additional informationto management module 105. The additional information may be analyzedindependent of the previously received information, and/or it may beanalyzed and/or correlated with the previously received information.

In one embodiment, information received at management module 105 isimmediately analyzed and then discarded. In another embodiment theinformation is analyzed and stored temporarily. In yet anotherembodiment, the information is stored for later analysis. And in stillanother embodiment, the information is stored via anotherdevice/module/engine.

The term “module”/“engine” is used herein to denote a functionaloperation that may be embodied either as a stand-alone component or asan integrated configuration of a plurality of subordinate components.Thus, “modules”/“engines” may be implemented as a single module or as aplurality of modules that operate in cooperation with one another.Moreover, although “modules”/“engines” may be described herein as beingimplemented as software, they could be implemented in any of hardware(e.g. electronic circuitry), firmware, software, or a combinationthereof.

Yet another flow diagram in accordance with another embodiment isillustrated in FIG. 4. Starting at step 410, management module 105receives imagery informatic data from one or more camera type sensordevices 90 preferably associated with an insured property.

Next, at step 420, preferably via imagery analysis engine 120, thereceived informatic data is analysed to determine an assessment variableregarding the insured property. It is to be appreciated the determinedassessment variable may include: one or more risks associated with theinsured property; detection of a structural alteration for the insuredproperty (e.g., a change of one or more appliances in the insuredproperty and/or a change in dimension or structure of the insuredproperty). The determined assessment variable may further utilizecomputer object recognition technique(s) to determine a value for anobject associated with the insured property by preferably comparison toa previous image of the object to determine a change in value for theobject. Additionally, the determined assessment variable may includedetermining the location of a heat emitting object (e.g., a portablestove/space heater) in an insured property preferably utilizing receivedthermal imagery of the object, which may also include determininglocation of the aforesaid heat emitting object relative to anotherobject (e.g., a fuel source (drapery)).

Management module 105 then preferably electronically retrieves aninsurance policy associated with the insured property, preferably viarecord retrieval techniques, step 430. Preferably via the policyanalysis engine 140, the retrieved insurance policy is analysed todetermine insurance coverage terms and conditions for the insuredproperty, as prescribed by the retrieved insurance policy (e.g.,coverage types and definitions, premiums, deductibles, claim types,notice provisions, etc.), step 440.

The aforementioned determined assessment variable (step 420) anddetermined insurance coverage terms and conditions (step 440) arefurther preferably analysed by management module 105 to determine anevent relating to the insurance policy associated with the insuredproperty, step 450. It is to be appreciated a determined event mayconsist of an action to be taken regarding the insurance policy for theinsured property based upon the received imagery informatic data fromthe one or more camera type sensor devices 90. For instance, such anevent may include (but is not to be understood to be limited to)adjusting one or more terms of the insurance policy, determine anobject's value or replacement cost, determine occurrence of an insuranceloss/claim event, initiate an insurance claim, perform insuranceunderwriting decisions, determine additional insurance products to berecommended for inclusion with the insurance policy, and the like.

With certain illustrated embodiments described above, it is to beappreciated that various non-limiting embodiments described herein maybe used separately, combined or selectively combined for specificapplications. Further, some of the various features of the abovenon-limiting embodiments may be used without the corresponding use ofother described features. The foregoing description should therefore beconsidered as merely illustrative of the principles, teachings andexemplary embodiments of this invention, and not in limitation thereof.

It is to be understood that the above-described arrangements are onlyillustrative of the application of the principles of the illustratedembodiments. Numerous modifications and alternative arrangements may bedevised by those skilled in the art without departing from the scope ofthe illustrated embodiments, and the appended claims are intended tocover such modifications and arrangements.

What is claimed is:
 1. A system, comprising: an infrared camera; and acomputer, comprising: one or more processors; and a network interfacecontroller (NIC), configured to communicatively couple the computer tothe infrared camera; wherein the system is configured to identify a heatsource within an environment, by: capturing, via the infrared camera, animage of the environment; receiving and analyzing, via the one or moreprocessors, the image of the environment to identify heat representedwithin the image of the environment; and identifying the heat sourcebased upon the heat; wherein the computer is configured to: transmit,via the NIC, a first command signal to the infrared camera, the firstcommand signal providing a first instruction to capture and transmitimagery data; in response to the first command signal, receive, via theNIC over a computer network, a first set of aggregated captured imagerydata, captured at a first time period, from a data storage componentthat stores aggregated sensor data for the infrared camera, the firstset of aggregated captured imagery data comprising a first set of one ormore captured infrared images in the infrared spectrum; perform, via theone or more processors, a first object recognition analysis of the firstset of one or more captured infrared images to identify one or moreobjects represented by the first set of one or more captured infraredimages; in response to identifying the one or more objects from thefirst set of one or more captured infrared images, calculate, via theone or more processors, a first value for each of the one or moreobjects, the first value comprising a temperature when the identifiedheat source is not activated, as indicated by the first set of the oneor more captured infrared images; transmit, via the NIC over thecomputer network, a second command signal to the infrared camera,providing a second instruction to capture and transmit imagery data; inresponse to the second command signal, receive, via the NIC over thecomputer network, a second set of aggregated captured imagery data,captured at a second time period different from the first time period,from a data storage component that stores aggregated sensor data for theinfrared camera, the second set of aggregated captured imagery datacomprising a second set of one or more captured infrared images in theinfrared spectrum; perform, via the one or more processors, a secondobject recognition analysis of the second set of one or more capturedinfrared images to identify the one or more objects represented by thefirst set of one or more captured infrared images; in response toidentifying the one or more objects from the second set of one or morecaptured infrared images, calculate, via the one or more processors, asecond value for each of one or more objects, the second valuecomprising a second temperature when the identified heat source isactivated, as indicated by the second set of the one or more capturedinfrared images; determine, via the one or more processors, a valuedifference for each of the one or more objects based on a differencebetween the first and second values for each of the one or more objects;and generate and transmit, via the NIC over the computer network, anindication of the value difference to an electronic device to cause anotification of the value difference to be rendered on an electronicdisplay of the electronic device.
 2. The system of claim 1, wherein theinfrared camera is an aerial infrared camera.
 3. The system of claim 1,wherein the infrared camera is a three-dimensional infrared camera. 4.The system of claim 1, wherein the infrared camera is a two-dimensionalinfrared camera.
 5. A tangible, non-transitory, machine-readable medium,comprising machine-readable instructions that, when executed by one ormore processors, cause the machine to: capture, via an infrared camera,an image of an environment; receive and analyze, via one or moreprocessors, the image of the environment to identify heat representedwithin the image of the environment; identify a heat source within theenvironment based upon the heat; transmit, via a network interfacecontroller (NIC) configured to couple a computer to the infrared camera,a first command signal to the infrared camera, the first command signalproviding a first instruction to capture and transmit imagery data; inresponse to the first command signal, receive, via the NIC over acomputer network, a first set of aggregated captured imagery data,captured at a first time period, from a data storage component thatstores aggregated sensor data for the infrared camera, the first set ofaggregated captured imagery data comprising a first set of one or morecaptured infrared images in the infrared spectrum; perform, via the oneor more processors, a first object recognition analysis of the first setof one or more captured infrared images to identify one or more objectsrepresented by the first set of one or more captured infrared images; inresponse to identifying the one or more objects from the first set ofone or more captured infrared images, calculate, via the one or moreprocessors, a first value for each of the one or more objects, the firstvalue comprising a temperature when the identified heat source is notactivated, as indicated by the first set of the one or more capturedinfrared images; transmit, via the NIC over the computer network, asecond command signal to the infrared camera, providing a secondinstruction to capture and transmit imagery data; in response to thesecond command signal, receive, via the NIC over the computer network, asecond set of aggregated captured imagery data, captured at a secondtime period different from the first time period from a data storagecomponent that stores aggregated sensor data for the infrared camera,the second set of aggregated captured imagery data comprising a secondset of one or more captured infrared images in the infrared spectrum;perform, via the one or more processors, a second object recognitionanalysis of the second set of one or more captured infrared images toidentify the one or more objects represented by the first set of one ormore captured infrared images; in response to identifying the one ormore objects from the second set of one or more captured infraredimages, calculate, via the one or more processors, a second value foreach of one or more objects, the second value comprising a secondtemperature when the identified heat source is activated, as indicatedby the second set of the one or more captured infrared images;determine, via the one or more processors, a value difference for eachof the one or more objects based on a difference between the first andsecond values for each of the one or more objects; and generate andtransmit, via the NIC over the computer network, an indication of thevalue difference to an electronic device to cause a notification of thevalue difference to be rendered on an electronic display of theelectronic device.
 6. The system of claim 1, wherein the electronicdevice comprises the computer, a backend server, or both.
 7. The systemof claim 5, wherein the infrared camera is a two-dimensional infraredcamera.
 8. The machine-readable medium of claim 7, comprisingmachine-readable instructions that, when executed by one or moreprocessors, cause the machine to: send command signals to the infraredcamera, providing instructions regarding capture and transmission ofimagery data.
 9. The machine-readable medium of claim 7, wherein theinfrared camera is an aerial infrared camera.
 10. The machine-readablemedium of claim 7, wherein the infrared camera is a three-dimensionalinfrared camera.
 11. A method for identifying and reporting on changesassociated with a heat source, comprising: capturing, via an infraredcamera, an image of an environment; receiving and analyze, via one ormore processors, the image of the environment to identify heatrepresented within the image of the environment; identifying the heatsource within the environment based upon the heat; transmitting, via anetwork interface controller (NIC) configured to couple a computer tothe infrared camera, a first command signal to the infrared camera, thefirst command signal providing a first instruction to capture andtransmit imagery data; in response to the first command signal,receiving, via the NIC over a computer network, a first set ofaggregated captured imagery data, captured at a first time period, froma data storage component that stores aggregated sensor data for theinfrared camera, the first set of aggregated captured imagery datacomprising a first set of one or more captured infrared images in theinfrared spectrum; performing, via the one or more processors, a firstobject recognition analysis of the first set of one or more capturedinfrared images to identify one or more objects represented by the firstset of one or more captured infrared images; in response to identifyingthe one or more objects from the first set of one or more capturedinfrared images, calculating, via the one or more processors, a firstvalue for each of the one or more objects, the first value comprising atemperature when the identified heat source is not activated, asindicated by the first set of the one or more captured infrared images;transmitting, via the NIC over the computer network, a second commandsignal to the infrared camera, providing a second instruction to captureand transmit imagery data; in response to the second command signal,receiving, via the NIC over the computer network, a second set ofaggregated captured imagery data captured at a second time perioddifferent from the first time period from a data storage component thatstores aggregated sensor data for the infrared camera, the second set ofaggregated captured imagery data comprising a second set of one or morecaptured infrared images in the infrared spectrum; performing, via theone or more processors, a second object recognition analysis of thesecond set of one or more captured infrared images to identify the oneor more objects represented by the first set of one or more capturedinfrared images; in response to identifying the one or more objects fromthe second set of one or more captured infrared images, calculating, viathe one or more processors, a second value for each of one or moreobjects, the second value comprising a second temperature when theidentified heat source is activated, as indicated by the second set ofthe one or more captured infrared images; determining, via the one ormore processors, a value difference for each of the one or more objectsbased on a difference between the first and second values for each ofthe one or more objects; and generating and transmitting, via the NICover the computer network, an indication of the value difference to anelectronic device to cause a notification of the value difference to berendered on an electronic display of the electronic device.